Senior Machine Learning Engineer

Keebo

Remote
Remote
End-to-end ml model development
Production deployment of ml models
Scalable and reliable ml models
Research, implement, and tune cutting-edge RL/ML models to achieve critical business outcomes

Job Summary

  • Research, implement, and tune cutting-edge RL/ML models to achieve critical business outcomes.
  • Design and implement AI/ML models that balance quality, speed, and cost.
  • Build repeatable, reliable pathways for promoting ML models from development to production.

Matching Summary

Research, implement, and tune cutting-edge RL/ML models to achieve critical business outcomes.

Skills & Requirements

Must-have

  • End-to-end ML model development
  • Production deployment of ML models
  • Scalable and reliable ML models
  • Balancing ML quality, speed, and cost
  • Monitoring ML model quality
  • Python for production code
  • GCP or AWS experience

Nice-to-have

  • Reinforcement learning experience
  • Bandit models familiarity
  • Java and Golang experience
  • Google Cloud and BigQuery experience

Key Requirements

  • Experience working on real-world problems impacting live customers
  • Experience deploying ML models into production environments
  • Experience building and maintaining scalable, reliable, and safe ML models
  • Experience implementing AI/ML models that balance quality, speed, and cost
  • Experience automatically monitoring ML/AI model quality
  • Experience with SQL, data analysis, and databases
  • Experience with Python and production code
  • Experience with GCP or AWS
  • Skilled in being self-directed and moving quickly
  • Ability to work in a fast-paced early stage startup
  • Skilled at communicating effectively in a distributed environment
  • Strong self-motivation, initiative, and adaptability
  • Familiarity with reinforcement learning or bandit models

Work Rights

Not specified

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